Method and system for evaluating the necessity of orthognathic surgery

Abstract

The application discloses an orthognathic surgery necessity evaluation method and system, and belongs to the technical field of medical correction prediction. First, cephalometric data of a patient is acquired, and the influence degree of a maxillofacial structure on the patient is quantitatively analyzed to obtain a primary score. Then, according to the primary score, weight coefficients of secondary evaluation indexes are selected from a pre-constructed weight coefficient database. Finally, the weight coefficients of the secondary evaluation indexes are combined with the patient data corresponding to the secondary evaluation indexes to calculate the score of the orthognathic surgery necessity of the patient. The method provides a systematic and quantitative evaluation method for scientifically judging the necessity of orthognathic surgery.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical correction prediction, and more particularly to a method and system for evaluating the necessity of orthognathic surgery. BACKGROUND

[0002] Orthognathic surgery is a surgical procedure aimed at correcting deformities of the jaw and facial bones, restoring oral function, and improving facial aesthetics. With the continuous advancement of medical technology, orthognathic surgery is increasingly widely used in the field of oral and maxillofacial surgery. However, the implementation of surgery needs to strictly master the indications to ensure the safety and effectiveness of the surgery. Therefore, how to scientifically and objectively evaluate the necessity of orthognathic surgery has become a problem to be solved.

[0003] Currently, the method for evaluating the necessity of orthognathic surgery mainly relies on the clinical experience and professional knowledge of doctors. Doctors usually make a comprehensive judgment based on the degree of deformity of the patient's jaw and face, the condition of the patient's teeth and occlusion, the patient's oral health status, and the patient's age, psychological state, etc. In addition, some advanced medical imaging technologies, such as computed tomography (CT) and three-dimensional reconstruction technology, also provide doctors with more accurate information about the structure of the jaw and face, which helps doctors develop individualized surgical plans.

[0004] However, the existing evaluation methods still have some shortcomings. First of all, although the clinical experience and professional knowledge of doctors are important, they are subjective and it is difficult to ensure the objectivity and accuracy of the evaluation results. Secondly, although medical imaging technology can provide accurate information about the structure of the jaw and face, it lacks a unified and quantitative evaluation standard, making it difficult for doctors to judge the necessity of surgery.

[0005] Therefore, how to provide a more scientific and objective evaluation method and system for the necessity of orthognathic surgery is a problem that needs to be solved by those skilled in the art. SUMMARY

[0006] Therefore, the present application provides an evaluation method and system for the necessity of orthognathic surgery, which quantitatively analyzes the influence of the jaw and facial structure on the patient by obtaining the cephalometric data of the patient, and combines a pre-constructed weight coefficient database containing multiple factors such as self-evaluation, external force and physical state, as well as a network relationship model between indicators, to comprehensively and objectively evaluate the necessity of orthognathic surgery for the patient, providing a scientific basis for doctors to develop treatment plans, and enhancing the understanding and acceptance of the patient for the surgical decision.

[0007] To achieve the above purpose, the present application adopts the following technical solutions:

[0008] On the one hand, the present application provides an evaluation method for the necessity of orthognathic surgery, comprising:

[0009] acquire cephalometric data of the patient, and analyze the influence degree of the maxillofacial structure on the patient according to the cephalometric data, to obtain a primary score by quantifying the influence degree;

[0010] select a weight coefficient of a secondary evaluation index in a pre-constructed weight coefficient database according to the primary score;

[0011] acquire corresponding patient data according to the secondary evaluation index, and calculate a score of the necessity of orthognathic surgery of the patient in combination with the weight coefficient corresponding to the secondary evaluation index.

[0012] Preferably, the acquiring of the cephalometric data of the patient and the analyzing of the influence degree of the maxillofacial structure on the patient according to the cephalometric data comprises:

[0013] acquiring an X-ray lateral film of the patient;

[0014] setting anatomical landmark points of craniofacial bones and teeth on the X-ray lateral film, and constructing an ear-eye plane Por-Or, a anterior cranial base plane S-N, a palate plane ANS-PNS and an occlusal plane O-P according to the anatomical landmark points;

[0015] constructing auxiliary measurement landmark points according to the anatomical landmark points and auxiliary lines, and constructing a mandibular plane Go-Me;

[0016] setting the ear-eye plane Por-Or as a reference plane, and setting a projection length of the anterior cranial base plane S-N on the ear-eye plane Por-Or as a fixed value, to standardize and correct the size of the craniofacial structure;

[0017] constructing a maxillary region and a mandibular region of an occlusal space according to the landmark points and measurement planes, and establishing a coordinate system for the maxillary region and the mandibular region respectively;

[0018] determining the cephalometric data of the patient according to the coordinate system, the cephalometric data comprising inclination, eruption height and sagittal position corresponding to the maxillary anterior teeth, the maxillary molar teeth, the mandibular anterior teeth and the mandibular molar teeth, and describing the length and relative position relationship of the maxillary region and the mandibular region of the occlusal space;

[0019] determining the influence degree of the maxillofacial structure on the patient according to the inclination, the eruption height and the sagittal position corresponding to the maxillary anterior teeth, the maxillary molar teeth, the mandibular anterior teeth and the mandibular molar teeth, and the length and relative position relationship of the maxillary region and the mandibular region of the occlusal space.

[0020] Preferably, the weight coefficient database construction method comprises:

[0021] fitting a statistical distribution function P corresponding to each influence index in the optimal index set by using a statistical analysis description method i(x);

[0022] combining the statistical distribution function P i (x) obtaining a cumulative probability distribution function of the influence index i, and calculating a threshold interval corresponding to the influence index i according to a threshold percentage interval set for the influence index i, and combining a corresponding assignment function to objectively calculate the percentage score of each influence index;

[0023] obtaining secondary evaluation data of patients under different primary scores, and using an evaluation method to sequentially evaluate the necessity of surgery for patients under multiple different primary scores in combination with the percentage score data of each influence index, and calculating the weighted assignment result of each influence index obtained by each patient, to construct an index horizontal and vertical information matrix [U, V] of the necessity of surgery for all patients;

[0024] Based on the index horizontal and vertical information matrix [U, V], the horizontal and vertical difference degree matrix [C H ,C Z ] between the influence indexes of the necessity of surgery for each patient is calculated using the Theil index decomposition theory;

[0025] According to the horizontal and vertical difference degree matrix results between the influence indexes, the weight of the necessity of surgery for each patient on each influence index is reweighted according to the difference-driven evaluation principle, to obtain the weight value w fi of each patient on each influence index, and the weight value w fi of each patient on each influence index constitutes a weight coefficient database.

[0026] Preferably, the weight coefficient of the secondary evaluation index is selected from the pre-constructed weight coefficient database according to the primary score, specifically including:

[0027] Obtaining secondary evaluation data of patients under different primary scores, and constructing a weight coefficient database corresponding to the secondary evaluation index under different primary scores based on the secondary evaluation data;

[0028] According to the primary score, the weight coefficient database is queried, and the query result corresponding to the primary score is returned;

[0029] After removing the query results, the weight coefficient of the secondary evaluation index is obtained.

[0030] Preferably, the influence index includes a self-evaluation index, an external force index, and a physical state index.

[0031] Preferably, the corresponding patient data is obtained according to the secondary evaluation index, and the score of the necessity of orthognathic surgery of the patient is calculated in combination with the weight coefficient corresponding to the secondary evaluation index, including:

[0032] The index network model is constructed, wherein the nodes represent the secondary evaluation indexes, and the edges represent the relationships between the secondary evaluation indexes.

[0033] According to the patient data, the weight coefficient, and the index network model, the evaluation algorithm is used to score the necessity of the orthognathic surgery for the patient.

[0034] In another aspect, the application provides an orthognathic surgery necessity evaluation system for implementing the orthognathic surgery necessity evaluation method.

[0035] The primary scoring module is configured to obtain cephalometric data of the patient, and analyze the influence degree of the maxillofacial structure on the patient according to the cephalometric data, so as to obtain a primary score by quantifying the influence degree.

[0036] The weight coefficient selection module is configured to select the weight coefficient of the secondary evaluation index in the pre-constructed weight coefficient database according to the primary score.

[0037] The scoring module is configured to obtain the corresponding patient data according to the secondary evaluation index, combine the weight coefficient corresponding to the secondary evaluation index, and calculate the orthognathic surgery necessity score of the patient.

[0038] Preferably, the primary scoring module comprises:

[0039] The image acquisition unit is configured to obtain an X-ray lateral film of the patient.

[0040] The landmark point selection unit is configured to set anatomical landmark points of craniofacial bones and teeth on the X-ray lateral film.

[0041] The plane construction module is configured to construct the Por-Or plane, the S-N plane, the ANS-PNS plane, and the O-P plane according to the anatomical landmark points, construct auxiliary measurement landmark points according to the anatomical landmark points and auxiliary lines, and construct the Go-Me plane.

[0042] The correction unit is configured to set the Por-Or plane as a reference plane, set the projection length of the S-N plane on the Por-Or plane as a fixed value, and standardize and correct the size of the craniofacial structure.

[0043] The coordinate system generation unit is configured to construct the maxillary region and the mandibular region of the occlusion space according to the landmark points and the measurement planes, and establish coordinate systems for the maxillary region and the mandibular region, respectively.

[0044] a data measurement unit configured to determine the inclination, eruption height and sagittal position of the maxillary anterior teeth, maxillary molar teeth, mandibular anterior teeth and mandibular molar teeth according to the coordinate system, and describe the length and relative position relationship of the upper and lower jaw regions in the occlusal space;

[0045] an analysis unit configured to determine the influence degree of the patient's jaw and facial structure according to the inclination, eruption height and sagittal position of the maxillary anterior teeth, maxillary molar teeth, mandibular anterior teeth and mandibular molar teeth, and the length and relative position relationship of the upper and lower jaw regions in the occlusal space;

[0046] a quantification unit configured to quantify the influence degree to obtain a primary score.

[0047] Preferably, the weight coefficient selection module comprises:

[0048] a database construction unit configured to construct and store the weight coefficients corresponding to the secondary evaluation indicators under different primary scores, and construct a weight coefficient database;

[0049] a search unit configured to retrieve the weight coefficients of the corresponding secondary evaluation indicators in the weight coefficient database according to the primary score, and return a query result;

[0050] a screening unit configured to remove the query result to obtain the weight coefficients of the secondary evaluation indicators.

[0051] Preferably, the scoring module comprises:

[0052] an indicator network model unit configured to construct an indicator network model, in which the nodes represent the secondary evaluation indicators and the edges represent the relationships between the secondary evaluation indicators;

[0053] an evaluation unit configured to score the necessity of the surgery of the patient by using an evaluation algorithm according to the patient data, the weight coefficients and the indicator network model.

[0054] Compared with the prior art, the orthognathic surgery necessity evaluation method and system provided by the application can obtain the cephalometric data of a patient, analyze the influence degree of the maxillofacial structure on the patient, and comprehensively evaluate the necessity of orthognathic surgery of the patient by combining the secondary evaluation indexes and the weight coefficients in the weight coefficient database constructed in advance. The evaluation method provided by the application can comprehensively consider the maxillofacial structure characteristics, self-evaluation, external factors (such as society, psychology, etc.), physical state and other factors of the patient in a scientific and objective manner, and provide quantitative basis for whether the patient needs to receive orthognathic surgery. By constructing the weight coefficient database and the index network model, the method can more accurately evaluate the necessity of surgery, thereby helping doctors make more reasonable treatment decisions, and helping patients better understand the necessity of surgery and possible changes. BRIEF DESCRIPTION OF DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only a part of the embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of the provided drawings.

[0056] Figure 1 The method flowchart provided by the present application;

[0057] Figure 2 The system framework diagram provided by the present application. DETAILED DESCRIPTION

[0058] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0059] The embodiments of the present application disclose an orthognathic surgery necessity evaluation method, as shown in Figure 1 The method comprises the following steps:

[0060] Obtain the cephalometric data of a patient, and analyze the influence degree of the maxillofacial structure on the patient according to the cephalometric data, and quantize the influence degree to obtain a primary score.

[0061] Advanced medical imaging techniques such as X-rays, CT scans, or three-dimensional photography are used to obtain precise cephalometric data of the patient. These data cover multiple dimensions and angles of the craniofacial skeleton, including but not limited to the position, shape, length of the upper and lower jaws, and their relative relationship. Then, professional cephalometric analysis software is used to analyze these data in depth to determine the patient's jaw and facial structure characteristics and their potential impact on oral function (such as chewing, breathing, pronunciation) and facial aesthetics. Based on this analysis, the degree of impact is quantified, and a primary score reflecting the overall impact of the jaw and facial structure on the patient is obtained. The primary score is used to determine the weight coefficient of the secondary evaluation indicators. For patients with less impact of jaw and facial structure on oral function, the weight coefficient of the patient factor and the impact of dental and maxillofacial deformities on appearance and function is increased, and for patients with greater impact of jaw and facial structure on oral function, the weight coefficient of the patient's impact on appearance and function of dental and maxillofacial deformities is reduced, and the weight coefficient of bone tissue indicators and soft tissue indicators is increased.

[0062] According to the primary score, the weight coefficient of the secondary evaluation indicators is selected in the pre-constructed weight coefficient database.

[0063] The pre-constructed weight coefficient database is used to further refine the evaluation process. This database is based on a large number of clinical researches and expert experiences, and contains multiple secondary evaluation indicators (such as patient factors, impact of dental and maxillofacial deformities on appearance and function, bone tissue indicators and soft tissue indicators, body factors, etc.) and their corresponding weight coefficients. These weight coefficients reflect the importance of different evaluation indicators in orthognathic surgery decision-making. According to the patient's primary score, we find the matching weight coefficient set in the database to ensure the accuracy and pertinence of the evaluation.

[0064] According to the secondary evaluation indicators, the corresponding patient data is obtained, and the score of the necessity of orthognathic surgery is calculated by combining the weight coefficients corresponding to the secondary evaluation indicators.

[0065] In this embodiment, the patient data for secondary evaluation is obtained by questionnaire survey and instrument detection. Patient factors and the impact of dental and maxillofacial deformities on appearance and function are obtained by patient self-scoring. The questionnaire scoring content is shown in Table 1, and the bone tissue indicator and soft tissue indicator score is automatically generated by professional measuring equipment, and the scoring standard is shown in Table 2.

[0066] Table 1 Questionnaire form

[0067]

[0068]

[0069]

[0070] Table 2 Bone and cartilage tissue scoring criteria

[0071]

[0072]

[0073]

[0074]

[0075] Further, the cephalometric data of the patient is acquired, and the influence degree of the maxillofacial structure on the patient is analyzed according to the cephalometric data, including:

[0076] An X-ray lateral film of the patient is acquired;

[0077] Anatomical landmark points of craniofacial bones and teeth are set on the X-ray lateral film, and an eye-ear plane Por-Or, a anterior cranial base plane S-N, a palate plane ANS-PNS and an occlusal plane O-P are constructed according to the anatomical landmark points.

[0078] Specifically, the craniofacial part is composed of multiple bones, and is divided into three basic regions of cranial base, maxilla and mandible according to anatomical structure, development characteristics and clinical treatment feasibility. These regions jointly constitute the basic framework of the face, support the teeth and soft tissue, are the cornerstone of normal operation of masticatory function, and play a decisive role in facial contour and aesthetics, and therefore occupy a core position in maxillofacial aesthetic and functional reconstruction. In the growth and development process, the size, shape and mutual position relationship of the bone components of the craniofacial part continue to change. Before birth, the development of the skull has reached 60%, while the development of the face has only reached 30%. After birth, the skull matures first, and about 90% of the development is completed at about 6 years old, and thereafter the change of the anterior cranial base is minimal; in contrast, the development of the maxilla and mandible continues until adulthood, with the development of the maxilla being earlier than that of the mandible, and the total growth period of the mandible being longer and the growth amount being larger. Therefore, this trend of gradually increasing from top to bottom, gradually extending the growth period and gradually increasing the growth amount makes us need to set a stable reference system at the cranial base when analyzing and evaluating the craniofacial morphology. Commonly used reference planes include the Frankfurt plane (i.e. the eye-ear plane) and the anterior cranial base plane S-N. Although the eye-ear plane has less individual difference, its positioning accuracy is easily affected by the quality of the X-ray film, leading to increased error in longitudinal comparison; while the S-N plane has good repeatability, but its inclination has large individual difference, which is not conducive to cross-individual comparison. In order to reveal the morphological differences of different bone types and provide guidance for clinical diagnosis and analysis, we can choose the eye-ear plane and its vertical line as the reference planes in the horizontal direction and the vertical direction, respectively.

[0079] According to the anatomical landmark points and auxiliary lines, auxiliary measurement landmark points are constructed, and a mandibular plane Go-Me is constructed; the landmark points include ear point (Por), nasal root point (N), sella point (S), cranial base point (Ba), orbital point (Or), nasal frontal point, interbrow, frontal tubercle, alar point, coronal-sagittal point (frontal vertex, anterior fontanel point), external occipital protuberance, nuchal line, anterior nasal spine point (ANS), posterior nasal spine point (PNS), upper central incisor edge point (Ui), and lower central incisor edge point (Li).

[0080] An eye-ear plane Por-Or is set as a reference plane, and a projection of a anterior cranial base plane S-N on the eye-ear plane Por-Or is set as a fixed value, so that the size of the craniofacial structure is standardized and corrected;

[0081] According to the landmark points and measurement planes, a maxillary region and a mandibular region of the occlusion space are constructed, and a coordinate system is established for the maxillary region and the mandibular region, respectively;

[0082] According to the coordinate system, the cephalometric data of the patient are determined, the cephalometric data including the inclination, eruption height and sagittal position corresponding to the upper anterior teeth, upper molar teeth, lower anterior teeth and lower molar teeth, and describing the length and relative position relationship of the maxillary region and the mandibular region of the occlusion space;

[0083] According to the inclination, eruption height and sagittal position corresponding to the upper anterior teeth, upper molar teeth, lower anterior teeth and lower molar teeth, and the length and relative position relationship of the maxillary region and the mandibular region of the occlusion space, the influence degree of the craniofacial structure on the patient is determined.

[0084] Further, the weight coefficient database construction method comprises:

[0085] All aspects of the influence indicators affecting the implementation of the orthognathic surgery are collected, and a basic index set for evaluating the necessity of the orthognathic surgery is constructed; this step needs to widely collect information from clinical cases, medical literature, expert opinions and other aspects to ensure the comprehensiveness and scientificity of the index set. The influence indicators may include but are not limited to the patient's age, gender, degree of facial deformity, degree of abnormal occlusal relationship, respiratory function status, psychological state, medical history, surgical risk and expected effect, etc.

[0086] The influence indicators in the basic index set are optimized and simplified by using a condensation hierarchical clustering method based on sum of squared deviations, and redundant indicators are removed to construct an optimal index set; by calculating the sum of squared deviations between the indicators, the similarity and difference between them are measured, so that the indicators with high similarity are gradually merged, the redundant indicators are removed, and finally an optimal index set that is both simple and effective is constructed, thereby improving the efficiency and accuracy of the evaluation system.

[0087] By using a statistical analysis description method, a statistical distribution function P i (x) corresponding to each influence indicator in the optimal index set is fitted.

[0088] combining the statistical distribution function P i (x) obtaining a cumulative probability distribution function of the influence index i, and calculating a threshold interval corresponding to the influence index i according to a threshold percentage interval set for the influence index i, and combining a corresponding assignment function to objectively calculate the percentage score of each influence index;

[0089] Obtaining secondary evaluation data of patients under different primary scores, and using evaluation methods to evaluate the necessity of surgery for patients under multiple different primary scores in sequence according to the percentage score data of each influence index, and calculating the weighted assignment result of each influence index obtained by each patient, to construct the index horizontal and vertical information matrix [U, V] of the necessity of surgery for all patients;

[0090] Based on the index horizontal and vertical information matrix [U, V], the horizontal and vertical difference degree matrix [C H ,C Z ] between the influence indexes of the necessity of surgery for each patient is calculated using the Theil index decomposition theory;

[0091] According to the horizontal and vertical difference degree matrix result between the influence indexes, the weight of each patient's surgery necessity evaluation on each influence index is reweighted according to the difference-driven evaluation principle, to obtain the weight value w fi of each patient on each influence index, and the weight value w fi of each patient on each influence index constitutes a weight coefficient database.

[0092] In another embodiment, the weight coefficient of the secondary evaluation index is selected from the pre-constructed weight coefficient database according to the primary score, specifically including:

[0093] Obtaining secondary evaluation data of patients under different primary scores, and constructing a weight coefficient database corresponding to the secondary evaluation index under different primary scores based on the secondary evaluation data;

[0094] According to the primary score, the weight coefficient database is queried, and the query result corresponding to the primary score is returned;

[0095] After removing the query results, the weight coefficient of the secondary evaluation index is obtained.

[0096] Further, the influence indexes include self-evaluation indexes, external force indexes, and physical state indexes.

[0097] In another embodiment, the corresponding patient data is obtained according to the secondary evaluation index, and the score of the necessity of orthognathic surgery of the patient is calculated according to the weight coefficient corresponding to the secondary evaluation index, including:

[0098] The index network model is constructed, and in the evaluation network model, the nodes represent the secondary evaluation indexes, and the edges represent the relationship between the secondary evaluation indexes.

[0099] According to the patient data, the weight coefficient and the index network model, the evaluation algorithm is used to score the necessity of the operation of the patient.

[0100] In another aspect, the present application provides an orthognathic surgery necessity evaluation system for implementing the orthognathic surgery necessity evaluation method described above, as shown in the accompanying drawings, comprising: Figure 2

[0101] The primary scoring module is configured to obtain cephalometric data of the patient, and analyze the influence degree of the maxillofacial structure on the patient according to the cephalometric data, and quantize the influence degree to obtain a primary score.

[0102] The weight coefficient selection module is configured to select the weight coefficient of the secondary evaluation index in the pre-constructed weight coefficient database according to the primary score.

[0103] The scoring module is configured to obtain the corresponding patient data according to the secondary evaluation index, and calculate the score of the necessity of the orthognathic surgery of the patient in combination with the weight coefficient corresponding to the secondary evaluation index.

[0104] Further, the primary scoring module comprises:

[0105] The image acquisition unit is configured to obtain an X-ray lateral film of the patient.

[0106] The landmark point selection unit is configured to set anatomical landmark points of craniofacial bones and teeth on the X-ray lateral film.

[0107] The plane construction module is configured to construct the Por-Or plane, the S-N plane, the ANS-PNS plane and the O-P plane according to the anatomical landmark points, and construct the Go-Me plane according to the anatomical landmark points and the auxiliary line.

[0108] The correction unit is configured to set the Por-Or plane as a reference plane, and set the projection length of the S-N plane on the Por-Or plane as a fixed value, and standardize and correct the size of the craniofacial structure.

[0109] The coordinate system generation unit is configured to construct the maxillary region and the mandibular region of the occlusion space according to the landmark points and the measurement planes, and establish coordinate systems for the maxillary region and the mandibular region, respectively.

[0110] The data measurement unit is configured to determine the inclination, eruption height and sagittal position corresponding to the upper anterior teeth, the upper molar teeth, the lower anterior teeth and the lower molar teeth according to the coordinate systems, and describe the length and relative position relationship of the maxillary region and the mandibular region of the occlusion space.​

[0111] an analysis unit configured to determine the influence degree of the facial structure on the patient according to the inclination, the eruption height and the sagittal position of the maxillary anterior teeth, the maxillary molar, the mandibular anterior teeth and the mandibular molar, and the length and relative position relationship of the occlusal space of the maxillary and mandibular regions;

[0112] a quantification unit configured to quantize the influence degree to obtain a primary score.

[0113] Further, the weight coefficient selection module comprises:

[0114] a database construction unit configured to construct and store the weight coefficients corresponding to the secondary evaluation indexes under different primary scores, and construct a weight coefficient database;

[0115] a searching unit configured to retrieve the weight coefficients of the corresponding secondary evaluation indexes in the weight coefficient database according to the primary score, and return a query result;

[0116] a screening unit configured to remove the duplicate query results to obtain the weight coefficients of the secondary evaluation indexes.

[0117] Further, the scoring module comprises:

[0118] an index network model unit configured to construct an index network model, in which the nodes represent the secondary evaluation indexes and the edges represent the relationships between the secondary evaluation indexes;

[0119] an evaluation unit configured to score the necessity of the surgery of the patient by using an evaluation algorithm according to the patient data, the weight coefficients and the index network model.

[0120] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same or similar parts of each embodiment can be referred to each other.

[0121] The above description of the disclosed embodiments enables a person skilled in the art to implement or use the present application. Various modifications to the embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for assessing the necessity of orthognathic surgery, characterized in that, include: Obtain the patient's cephalometric data, analyze the degree of influence of the maxillofacial structure on the patient based on the cephalometric data, and quantify the degree of influence to obtain a preliminary score; Based on the primary score, the weight coefficients of the secondary evaluation indicators are selected from a pre-built weight coefficient database, specifically including: Obtain secondary assessment data of patients under different primary scores, and construct a database of weight coefficients corresponding to secondary assessment indicators under different primary scores based on the secondary assessment data; The primary score is used to query the weight coefficient database, and the query results corresponding to the primary score are returned. After deduplicating the query results, the weight coefficients of the secondary evaluation indicators are obtained; the secondary evaluation indicators include: patient factors, the impact of dentofacial deformities on appearance and function, bone tissue indicators and soft tissue indicators, and body factors; Based on the secondary assessment indicators, obtain the corresponding patient data, and combine the weighting coefficients corresponding to the secondary assessment indicators to calculate the score of the necessity of orthognathic surgery for the patient, including: Construct an indicator network model, in which nodes represent secondary evaluation indicators and edges represent the relationships between secondary evaluation indicators. Based on patient data, weighting coefficients, and indicator network models, an evaluation algorithm is used to score the necessity of surgical procedures for the patient. The method for constructing the weight coefficient database includes: We collected comprehensive indicators that influence the implementation of orthognathic surgery and constructed a basic indicator set for assessing the necessity of orthognathic surgery. The agglomerative hierarchical clustering method based on the sum of squared deviations is used to optimize and simplify the impact indicators in the basic indicator set, eliminate redundant indicators, and construct the optimal indicator set. Using statistical analysis methods, we fit the statistical distribution function P corresponding to each influencing indicator in the optimal indicator set. i (x); Combined with the statistical distribution function P i (x) Find the cumulative probability distribution function of the influence index i, and calculate the threshold range corresponding to the influence index i according to the threshold percentage range set for the influence index i. Combined with the corresponding assignment function, objectively calculate the percentage score of each influence index. Secondary assessment data of patients under different primary scores were obtained. The necessity of surgery for patients under multiple different primary scores was evaluated by combining the percentage scores of each influencing indicator with the assessment method. The weighted values ​​of each influencing indicator obtained for each patient were calculated, and the horizontal and vertical information matrix [U, V] of the necessity of surgery for all patients was constructed. Based on the aforementioned horizontal and vertical information matrices [U, V], the horizontal and vertical difference matrices [C] among the indicators influencing the necessity of surgery for each patient were calculated using Theil index decomposition theory. H C Z ]; Based on the results of the horizontal and vertical difference matrix among the influencing indicators, and in accordance with the difference-driven assessment principle, the weights of the necessity assessment of surgery for each patient on each influencing indicator were re-assigned, resulting in the weight value w for each patient on each influencing indicator. fi The weight value w of each patient on each influencing indicator fi To form a weighted coefficient database.

2. The method for assessing the necessity of orthognathic surgery according to claim 1, characterized in that, Acquire cephalometric data of the patient and analyze the degree of influence of the maxillofacial structure on the patient based on the cephalometric data, including: Obtain lateral X-ray images of the patient; Anatomical landmarks of craniofacial bones and teeth are set on the X-ray lateral view, and the eye-ear plane Por-Or, the anterior skull base plane SN, the palatal plane ANS-PNS, and the occlusal plane OP are constructed based on the anatomical landmarks. Based on the anatomical landmarks and auxiliary lines, auxiliary measurement landmarks are constructed, and the mandibular plane Go-Me is constructed; The eye-ear plane Por-Or is set as the reference plane, and the projection length of the anterior skull base plane SN on the eye-ear plane Por-Or is set to a fixed value to standardize and correct the size of the craniofacial structure. Based on the landmark points and the measurement plane, the maxillary and mandibular regions of the occlusal space are constructed, and coordinate systems are established for the maxillary and mandibular regions respectively. The cephalometric data of the patient is determined according to the coordinate system. The cephalometric data includes the inclination, eruption height and sagittal position of the maxillary anterior teeth, maxillary molars, mandibular anterior teeth and mandibular molars, and describes the length and relative positional relationship of the maxillary and mandibular regions of the occlusal space. The degree of influence of the maxillofacial structure on the patient is determined based on the inclination, eruption height, sagittal position, length of the maxillary and mandibular regions of the occlusal space, and relative positional relationship of the maxillary anterior teeth, maxillary molars, mandibular anterior teeth, and mandibular molars.

3. The method for assessing the necessity of orthognathic surgery according to claim 1, characterized in that, The influencing indicators include: self-assessment indicators, external force indicators, and physical condition indicators.

4. A system for assessing the necessity of orthognathic surgery, characterized in that, A method for assessing the necessity of performing orthognathic surgery as described in any one of claims 1-3, comprising: The primary scoring module is used to acquire the patient's cephalometric data, analyze the degree of influence of the maxillofacial structure on the patient based on the cephalometric data, and quantify the degree of influence to obtain a primary score; The weighting coefficient selection module is used to select the weighting coefficients of the secondary evaluation indicators from a pre-built weighting coefficient database based on the primary score; the secondary evaluation indicators include: patient factors, the impact of dentofacial deformities on appearance and function, bone tissue indicators and soft tissue indicators, and body factors; The scoring module is used to obtain the corresponding patient data based on the secondary assessment indicators, and calculate the score of the necessity of orthognathic surgery for the patient by combining the weight coefficients corresponding to the secondary assessment indicators. The weighting coefficient selection module includes: A database construction unit is used to construct and store the weight coefficients corresponding to the secondary evaluation indicators under different primary scores, thereby constructing a weight coefficient database; the weight coefficient database construction method includes: We collected comprehensive indicators that influence the implementation of orthognathic surgery and constructed a basic indicator set for assessing the necessity of orthognathic surgery. The agglomerative hierarchical clustering method based on the sum of squared deviations is used to optimize and simplify the impact indicators in the basic indicator set, eliminate redundant indicators, and construct the optimal indicator set. Using statistical analysis methods, we fit the statistical distribution function P corresponding to each influencing indicator in the optimal indicator set. i (x); Combined with the statistical distribution function P i (x) Find the cumulative probability distribution function of the influence index i, and calculate the threshold range corresponding to the influence index i according to the threshold percentage range set for the influence index i. Combined with the corresponding assignment function, objectively calculate the percentage score of each influence index. Secondary assessment data of patients under different primary scores were obtained. The necessity of surgery for patients under multiple different primary scores was evaluated by combining the percentage scores of each influencing indicator with the assessment method. The weighted values ​​of each influencing indicator obtained for each patient were calculated, and the horizontal and vertical information matrix [U, V] of the necessity of surgery for all patients was constructed. Based on the aforementioned horizontal and vertical information matrices [U, V], the horizontal and vertical difference matrices [C] among the indicators influencing the necessity of surgery for each patient were calculated using Theil index decomposition theory. H C Z ]; Based on the results of the horizontal and vertical difference matrix among the influencing indicators, and in accordance with the difference-driven assessment principle, the weights of the necessity assessment of surgery for each patient on each influencing indicator were re-assigned, resulting in the weight value w for each patient on each influencing indicator. fi The weight value w of each patient on each influencing indicator fi Construct a weighted coefficient database; The search unit is used to retrieve the weight coefficients of the corresponding secondary evaluation indicators from the weight coefficient database based on the primary score, and return the query results. The filtering unit is used to deduplicate the query results and obtain the weight coefficients of the secondary evaluation indicators. The scoring module includes: The indicator network model unit is used to construct the indicator network model. In the indicator network model, nodes represent secondary evaluation indicators, and edges represent the relationships between secondary evaluation indicators. The evaluation unit is used to score the necessity of performing surgery on the patient based on patient data, weighting coefficients, and an indicator network model, using an evaluation algorithm.

5. The orthognathic surgery necessity assessment system according to claim 4, characterized in that, The primary scoring module includes: The image acquisition unit is used to acquire lateral X-ray images of the patient; The landmark selection unit is used to set anatomical landmarks of craniofacial bones and teeth on the X-ray lateral radiograph. The planar construction module is used to construct the eye-ear plane Por-Or, the anterior skull base plane SN, the palatal plane ANS-PNS, and the occlusal plane OP based on anatomical landmarks; and to construct auxiliary measurement landmarks based on the anatomical landmarks and auxiliary lines, and to construct the mandibular plane Go-Me. The correction unit is used to set the eye-ear plane Por-Or as the reference plane and set the projection length of the anterior skull base plane SN on the eye-ear plane Por-Or as a fixed value to standardize the correction of the size of the craniofacial structure. The coordinate system generation unit is used to construct the maxillary and mandibular regions of the occlusal space based on the marker points and the measurement plane, and to establish coordinate systems for the maxillary and mandibular regions respectively. The data measurement unit is used to determine the inclination, eruption height and sagittal position of the maxillary anterior teeth, maxillary molars, mandibular anterior teeth and mandibular molars according to the coordinate system, and to describe the length and relative positional relationship of the maxillary and mandibular regions of the occlusal space. The analysis unit is used to determine the degree of influence of the maxillofacial structure on the patient based on the inclination, eruption height, sagittal position, length and relative position of the maxillary and mandibular regions of the occlusal space corresponding to the maxillary anterior teeth, maxillary molars, mandibular anterior teeth and mandibular molars; A quantification unit is used to quantify the degree of influence to obtain a preliminary score.

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